Hyperspectral Anomaly Detection on San Diego (Case 1) benchmark leaderboard · SOTA2 Research

Hyperspectral Anomaly Detection on San Diego (Case 1)

99.27AUC (PD vs PF)GTVLRR

Evaluation Results

Method
GTVLRR2024.01	99.27	42.35	6.04
RGAE2024.01	99.21	18.23	0.76
GAED2024.01	99.02	18.82	0.8
ADLR2024.01	98.92	79.43	31.82
MTVLRR2024.01	98.84	41.59	2.47
Joint Background-Anomaly-Noise Decomposition2024.01	98.66	38.61	3.34
PCA-TLRSR2024.01	98.27	31.89	4.45
Joint Background-Anomaly-Noise Decomposition2024.01	97.38	16.33	1.01
LSDM-MoG2024.01	97.09	55.05	20.11
Joint Background-Anomaly-Noise Decomposition2024.01	96.78	23.52	1.45
Joint Background-Anomaly-Noise Decomposition2024.01	96.03	28.51	4.86
GRX2024.01	94.03	17.78	5.89
AHMID2024.01	92.63	24.25	3.83
2S-GLRT2024.01	90.74	0.02	0.07